Abstract
In this paper, a newly developed jumping genes evolutionary paradigm is proposed for optimizing the multiobjective resource management problem in direct sequence-wideband code division multiple access systems. This formulation enables both total transmission power and total transmission rate to be simultaneously optimized. Since these two objectives are conflicting in nature, a set of tradeoff non-dominated solutions could be obtained without violating the quality of service. This new algorithm has been statistically tested and compared with a number of various multiobjective evolutionary algorithms including the use of binary ε-indicator for classifying the capability in generating the quality of non-dominated solution sets. In addition, the capacity of finding a number of extreme solutions is an extra indication to show its ability to measure the diversity along the Pareto-optimal solution front in a unique fashion. © The Author 2005. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 749-768 |
| Journal | Computer Journal |
| Volume | 48 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 2005 |
| Externally published | Yes |